Overview

Brought to you by YData

Dataset statistics

Number of variables19
Number of observations10
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory160.0 B

Variable types

TimeSeries14
Numeric5

Timeseries statistics

Number of series14
Time series length10
Starting point1746547320000
Ending point1746547860000
Period60000
2025-05-16T18:01:24.979808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:25.029747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

close is highly overall correlated with high and 12 other fieldsHigh correlation
high is highly overall correlated with close and 12 other fieldsHigh correlation
low is highly overall correlated with close and 12 other fieldsHigh correlation
macd_7 is highly overall correlated with close and 12 other fieldsHigh correlation
macdhist_7 is highly overall correlated with rsi_60High correlation
macdsignal_7 is highly overall correlated with close and 12 other fieldsHigh correlation
obv_7 is highly overall correlated with volumeHigh correlation
open is highly overall correlated with close and 12 other fieldsHigh correlation
rsi_14 is highly overall correlated with rsi_7High correlation
rsi_21 is highly overall correlated with close and 12 other fieldsHigh correlation
rsi_60 is highly overall correlated with macdhist_7 and 1 other fieldsHigh correlation
rsi_7 is highly overall correlated with close and 14 other fieldsHigh correlation
sma_14 is highly overall correlated with close and 12 other fieldsHigh correlation
sma_21 is highly overall correlated with close and 12 other fieldsHigh correlation
sma_60 is highly overall correlated with close and 12 other fieldsHigh correlation
sma_7 is highly overall correlated with close and 12 other fieldsHigh correlation
target is highly overall correlated with close and 12 other fieldsHigh correlation
volume is highly overall correlated with obv_7High correlation
window_start_ms is highly overall correlated with close and 12 other fieldsHigh correlation
window_start_ms is non stationary Non stationary
low is non stationary Non stationary
target is non stationary Non stationary
sma_14 is non stationary Non stationary
sma_21 is non stationary Non stationary
sma_60 is non stationary Non stationary
window_start_ms is uniformly distributed Uniform
sma_14 is uniformly distributed Uniform
sma_60 is uniformly distributed Uniform
window_start_ms has unique values Unique
target has unique values Unique
volume has unique values Unique
sma_14 has unique values Unique
sma_21 has unique values Unique
sma_60 has unique values Unique
rsi_7 has unique values Unique
rsi_14 has unique values Unique
rsi_21 has unique values Unique
macd_7 has unique values Unique
macdsignal_7 has unique values Unique
macdhist_7 has unique values Unique
obv_7 has unique values Unique

Reproduction

Analysis started2025-05-16 16:01:17.631805
Analysis finished2025-05-16 16:01:24.959045
Duration7.33 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

window_start_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7465476 × 1012
Minimum1.7465473 × 1012
Maximum1.7465479 × 1012
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:25.075362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7465473 × 1012
5-th percentile1.7465473 × 1012
Q11.7465475 × 1012
median1.7465476 × 1012
Q31.7465477 × 1012
95-th percentile1.7465478 × 1012
Maximum1.7465479 × 1012
Range540000
Interquartile range (IQR)270000

Descriptive statistics

Standard deviation181659.02
Coefficient of variation (CV)1.0401035 × 10-7
Kurtosis-1.2
Mean1.7465476 × 1012
Median Absolute Deviation (MAD)150000
Skewness0
Sum1.7465476 × 1013
Variance3.3 × 1010
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585319816
2025-05-16T18:01:25.101231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-16T18:01:25.165556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:25.180196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.74654732 × 10121
10.0%
1.74654738 × 10121
10.0%
1.74654744 × 10121
10.0%
1.7465475 × 10121
10.0%
1.74654756 × 10121
10.0%
1.74654762 × 10121
10.0%
1.74654768 × 10121
10.0%
1.74654774 × 10121
10.0%
1.7465478 × 10121
10.0%
1.74654786 × 10121
10.0%
ValueCountFrequency (%)
1.74654732 × 10121
10.0%
1.74654738 × 10121
10.0%
1.74654744 × 10121
10.0%
1.7465475 × 10121
10.0%
1.74654756 × 10121
10.0%
1.74654762 × 10121
10.0%
1.74654768 × 10121
10.0%
1.74654774 × 10121
10.0%
1.7465478 × 10121
10.0%
1.74654786 × 10121
10.0%
ValueCountFrequency (%)
1.74654786 × 10121
10.0%
1.7465478 × 10121
10.0%
1.74654774 × 10121
10.0%
1.74654768 × 10121
10.0%
1.74654762 × 10121
10.0%
1.74654756 × 10121
10.0%
1.7465475 × 10121
10.0%
1.74654744 × 10121
10.0%
1.74654738 × 10121
10.0%
1.74654732 × 10121
10.0%
2025-05-16T18:01:25.118464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

open
Numeric time series

High correlation 

Distinct8
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94491.48
Minimum94413.8
Maximum94537
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:25.206540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum94413.8
5-th percentile94422.44
Q194442.5
median94517.95
Q394532.075
95-th percentile94537
Maximum94537
Range123.2
Interquartile range (IQR)89.575

Descriptive statistics

Standard deviation50.33792
Coefficient of variation (CV)0.00053272444
Kurtosis-1.8035692
Mean94491.48
Median Absolute Deviation (MAD)19.05
Skewness-0.51800068
Sum944914.8
Variance2533.9062
MonotonicityDecreasing
Augmented Dickey-Fuller test p-value0
2025-05-16T18:01:25.229246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
2025-05-16T18:01:25.296424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:25.310933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94537 2
20.0%
94532 2
20.0%
94532.1 1
10.0%
94503.9 1
10.0%
94456 1
10.0%
94438 1
10.0%
94433 1
10.0%
94413.8 1
10.0%
ValueCountFrequency (%)
94413.8 1
10.0%
94433 1
10.0%
94438 1
10.0%
94456 1
10.0%
94503.9 1
10.0%
94532 2
20.0%
94532.1 1
10.0%
94537 2
20.0%
ValueCountFrequency (%)
94537 2
20.0%
94532.1 1
10.0%
94532 2
20.0%
94503.9 1
10.0%
94456 1
10.0%
94438 1
10.0%
94433 1
10.0%
94413.8 1
10.0%
2025-05-16T18:01:25.245536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

high
Numeric time series

High correlation 

Distinct7
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94499.33
Minimum94433
Maximum94537
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:25.338104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum94433
5-th percentile94435.25
Q194465.025
median94518
Q394532.1
95-th percentile94537
Maximum94537
Range104
Interquartile range (IQR)67.075

Descriptive statistics

Standard deviation42.388889
Coefficient of variation (CV)0.00044856285
Kurtosis-1.3296822
Mean94499.33
Median Absolute Deviation (MAD)19
Skewness-0.71421368
Sum944993.3
Variance1796.8179
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value2.87606673 × 10-24
2025-05-16T18:01:25.359322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
2025-05-16T18:01:25.527722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:25.541380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94532.1 3
30.0%
94537 2
20.0%
94503.9 1
 
10.0%
94456 1
 
10.0%
94438 1
 
10.0%
94433 1
 
10.0%
94492.1 1
 
10.0%
ValueCountFrequency (%)
94433 1
 
10.0%
94438 1
 
10.0%
94456 1
 
10.0%
94492.1 1
 
10.0%
94503.9 1
 
10.0%
94532.1 3
30.0%
94537 2
20.0%
ValueCountFrequency (%)
94537 2
20.0%
94532.1 3
30.0%
94503.9 1
 
10.0%
94492.1 1
 
10.0%
94456 1
 
10.0%
94438 1
 
10.0%
94433 1
 
10.0%
2025-05-16T18:01:25.375019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

low
Numeric time series

High correlation  Non stationary 

Distinct6
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94478.87
Minimum94413.8
Maximum94536.9
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:25.567425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum94413.8
5-th percentile94413.8
Q194433
median94481.1
Q394532
95-th percentile94534.695
Maximum94536.9
Range123.1
Interquartile range (IQR)99

Descriptive statistics

Standard deviation53.284062
Coefficient of variation (CV)0.00056397861
Kurtosis-2.1593005
Mean94478.87
Median Absolute Deviation (MAD)50.9
Skewness-0.084274477
Sum944788.7
Variance2839.1912
MonotonicityDecreasing
Augmented Dickey-Fuller test p-value0.3751026612
2025-05-16T18:01:25.588207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
2025-05-16T18:01:25.648717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:25.662837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94532 3
30.0%
94433 2
20.0%
94413.8 2
20.0%
94536.9 1
 
10.0%
94503.8 1
 
10.0%
94458.4 1
 
10.0%
ValueCountFrequency (%)
94413.8 2
20.0%
94433 2
20.0%
94458.4 1
 
10.0%
94503.8 1
 
10.0%
94532 3
30.0%
94536.9 1
 
10.0%
ValueCountFrequency (%)
94536.9 1
 
10.0%
94532 3
30.0%
94503.8 1
 
10.0%
94458.4 1
 
10.0%
94433 2
20.0%
94413.8 2
20.0%
2025-05-16T18:01:25.603847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

close
Numeric time series

High correlation 

Distinct9
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94487.27
Minimum94413.9
Maximum94536.9
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:25.688081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum94413.9
5-th percentile94422.54
Q194443.2
median94498
Q394532.075
95-th percentile94534.74
Maximum94536.9
Range123
Interquartile range (IQR)88.875

Descriptive statistics

Standard deviation47.546703
Coefficient of variation (CV)0.0005032075
Kurtosis-1.6768517
Mean94487.27
Median Absolute Deviation (MAD)36.5
Skewness-0.38759378
Sum944872.7
Variance2260.689
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value2.160887803 × 10-28
2025-05-16T18:01:25.709971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
2025-05-16T18:01:25.767931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:25.782457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94532.1 2
20.0%
94536.9 1
10.0%
94532 1
10.0%
94503.9 1
10.0%
94458.5 1
10.0%
94438.1 1
10.0%
94433.1 1
10.0%
94413.9 1
10.0%
94492.1 1
10.0%
ValueCountFrequency (%)
94413.9 1
10.0%
94433.1 1
10.0%
94438.1 1
10.0%
94458.5 1
10.0%
94492.1 1
10.0%
94503.9 1
10.0%
94532 1
10.0%
94532.1 2
20.0%
94536.9 1
10.0%
ValueCountFrequency (%)
94536.9 1
10.0%
94532.1 2
20.0%
94532 1
10.0%
94503.9 1
10.0%
94492.1 1
10.0%
94458.5 1
10.0%
94438.1 1
10.0%
94433.1 1
10.0%
94413.9 1
10.0%
2025-05-16T18:01:25.724833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

target
Numeric time series

High correlation  Non stationary  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94566.04
Minimum94413.9
Maximum94802.9
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:25.809073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum94413.9
5-th percentile94422.54
Q194443.2
median94537
Q394668.2
95-th percentile94775.9
Maximum94802.9
Range389
Interquartile range (IQR)225

Descriptive statistics

Standard deviation140.85372
Coefficient of variation (CV)0.0014894746
Kurtosis-1.2177629
Mean94566.04
Median Absolute Deviation (MAD)101.4
Skewness0.5517222
Sum945660.4
Variance19839.769
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2648968455
2025-05-16T18:01:25.833427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-16T18:01:25.896357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:25.912357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94458.5 1
10.0%
94438.1 1
10.0%
94433.1 1
10.0%
94413.9 1
10.0%
94492.1 1
10.0%
94581.9 1
10.0%
94742.9 1
10.0%
94802.9 1
10.0%
94687.9 1
10.0%
94609.1 1
10.0%
ValueCountFrequency (%)
94413.9 1
10.0%
94433.1 1
10.0%
94438.1 1
10.0%
94458.5 1
10.0%
94492.1 1
10.0%
94581.9 1
10.0%
94609.1 1
10.0%
94687.9 1
10.0%
94742.9 1
10.0%
94802.9 1
10.0%
ValueCountFrequency (%)
94802.9 1
10.0%
94742.9 1
10.0%
94687.9 1
10.0%
94609.1 1
10.0%
94581.9 1
10.0%
94492.1 1
10.0%
94458.5 1
10.0%
94438.1 1
10.0%
94433.1 1
10.0%
94413.9 1
10.0%
2025-05-16T18:01:25.850589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

volume
Real number (ℝ)

High correlation  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19217233
Minimum0.01890306
Maximum0.77871907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size160.0 B
2025-05-16T18:01:25.934740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01890306
5-th percentile0.03353386
Q10.11476211
median0.12249145
Q30.19187424
95-th percentile0.5389749
Maximum0.77871907
Range0.75981601
Interquartile range (IQR)0.077112128

Descriptive statistics

Standard deviation0.21627791
Coefficient of variation (CV)1.1254373
Kurtosis7.6094548
Mean0.19217233
Median Absolute Deviation (MAD)0.045564165
Skewness2.6394625
Sum1.9217233
Variance0.046776135
MonotonicityNot monotonic
2025-05-16T18:01:25.955404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.05141595 1
10.0%
0.24595424 1
10.0%
0.14254428 1
10.0%
0.01890306 1
10.0%
0.11680518 1
10.0%
0.20831756 1
10.0%
0.77871907 1
10.0%
0.12450833 1
10.0%
0.12047457 1
10.0%
0.11408109 1
10.0%
ValueCountFrequency (%)
0.01890306 1
10.0%
0.05141595 1
10.0%
0.11408109 1
10.0%
0.11680518 1
10.0%
0.12047457 1
10.0%
0.12450833 1
10.0%
0.14254428 1
10.0%
0.20831756 1
10.0%
0.24595424 1
10.0%
0.77871907 1
10.0%
ValueCountFrequency (%)
0.77871907 1
10.0%
0.24595424 1
10.0%
0.20831756 1
10.0%
0.14254428 1
10.0%
0.12450833 1
10.0%
0.12047457 1
10.0%
0.11680518 1
10.0%
0.11408109 1
10.0%
0.05141595 1
10.0%
0.01890306 1
10.0%

sma_7
Numeric time series

High correlation 

Distinct9
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94512.526
Minimum94467.386
Maximum94535.557
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:25.977963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum94467.386
5-th percentile94469.957
Q194493.679
median94524.521
Q394534.954
95-th percentile94535.557
Maximum94535.557
Range68.171429
Interquartile range (IQR)41.275

Descriptive statistics

Standard deviation27.028999
Coefficient of variation (CV)0.00028598325
Kurtosis-1.0703746
Mean94512.526
Median Absolute Deviation (MAD)11.035714
Skewness-0.7918411
Sum945125.26
Variance730.56679
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0
2025-05-16T18:01:26.000163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
2025-05-16T18:01:26.058687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:26.072665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94535.55714 2
20.0%
94534.98571 1
10.0%
94534.85714 1
10.0%
94530.12857 1
10.0%
94518.91429 1
10.0%
94504.8 1
10.0%
94489.97143 1
10.0%
94473.1 1
10.0%
94467.38571 1
10.0%
ValueCountFrequency (%)
94467.38571 1
10.0%
94473.1 1
10.0%
94489.97143 1
10.0%
94504.8 1
10.0%
94518.91429 1
10.0%
94530.12857 1
10.0%
94534.85714 1
10.0%
94534.98571 1
10.0%
94535.55714 2
20.0%
ValueCountFrequency (%)
94535.55714 2
20.0%
94534.98571 1
10.0%
94534.85714 1
10.0%
94530.12857 1
10.0%
94518.91429 1
10.0%
94504.8 1
10.0%
94489.97143 1
10.0%
94473.1 1
10.0%
94467.38571 1
10.0%
2025-05-16T18:01:26.015591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_14
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94524.676
Minimum94501.471
Maximum94549.193
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:26.098657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum94501.471
5-th percentile94502.757
Q194513.907
median94524.514
Q394535.05
95-th percentile94546.83
Maximum94549.193
Range47.721429
Interquartile range (IQR)21.142857

Descriptive statistics

Standard deviation16.003228
Coefficient of variation (CV)0.00016930212
Kurtosis-0.99828613
Mean94524.676
Median Absolute Deviation (MAD)11.778571
Skewness0.025450218
Sum945246.76
Variance256.1033
MonotonicityStrictly decreasing
Augmented Dickey-Fuller test p-value0.7073727341
2025-05-16T18:01:26.119366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-16T18:01:26.179936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:26.193571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94549.19286 1
10.0%
94543.94286 1
10.0%
94536.03571 1
10.0%
94532.09286 1
10.0%
94526.13571 1
10.0%
94522.89286 1
10.0%
94518.19286 1
10.0%
94512.47857 1
10.0%
94504.32857 1
10.0%
94501.47143 1
10.0%
ValueCountFrequency (%)
94501.47143 1
10.0%
94504.32857 1
10.0%
94512.47857 1
10.0%
94518.19286 1
10.0%
94522.89286 1
10.0%
94526.13571 1
10.0%
94532.09286 1
10.0%
94536.03571 1
10.0%
94543.94286 1
10.0%
94549.19286 1
10.0%
ValueCountFrequency (%)
94549.19286 1
10.0%
94543.94286 1
10.0%
94536.03571 1
10.0%
94532.09286 1
10.0%
94526.13571 1
10.0%
94522.89286 1
10.0%
94518.19286 1
10.0%
94512.47857 1
10.0%
94504.32857 1
10.0%
94501.47143 1
10.0%
2025-05-16T18:01:26.135974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94544.795
Minimum94513.152
Maximum94568.319
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:26.218609image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum94513.152
5-th percentile94516.382
Q194531.504
median94548.995
Q394559.381
95-th percentile94566.228
Maximum94568.319
Range55.166667
Interquartile range (IQR)27.877381

Descriptive statistics

Standard deviation18.984913
Coefficient of variation (CV)0.00020080336
Kurtosis-1.0894669
Mean94544.795
Median Absolute Deviation (MAD)13.007143
Skewness-0.49937914
Sum945447.95
Variance360.42692
MonotonicityStrictly decreasing
Augmented Dickey-Fuller test p-value0.9838888919
2025-05-16T18:01:26.239154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-16T18:01:26.298217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:26.311506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94568.31905 1
10.0%
94563.67143 1
10.0%
94560.07143 1
10.0%
94557.30952 1
10.0%
94552.3619 1
10.0%
94545.62857 1
10.0%
94537.65714 1
10.0%
94529.45238 1
10.0%
94520.32857 1
10.0%
94513.15238 1
10.0%
ValueCountFrequency (%)
94513.15238 1
10.0%
94520.32857 1
10.0%
94529.45238 1
10.0%
94537.65714 1
10.0%
94545.62857 1
10.0%
94552.3619 1
10.0%
94557.30952 1
10.0%
94560.07143 1
10.0%
94563.67143 1
10.0%
94568.31905 1
10.0%
ValueCountFrequency (%)
94568.31905 1
10.0%
94563.67143 1
10.0%
94560.07143 1
10.0%
94557.30952 1
10.0%
94552.3619 1
10.0%
94545.62857 1
10.0%
94537.65714 1
10.0%
94529.45238 1
10.0%
94520.32857 1
10.0%
94513.15238 1
10.0%
2025-05-16T18:01:26.254586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_60
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94477.553
Minimum94454.803
Maximum94500.917
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:26.335904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum94454.803
5-th percentile94457.293
Q194466.764
median94477.427
Q394488.285
95-th percentile94498.08
Maximum94500.917
Range46.113333
Interquartile range (IQR)21.521667

Descriptive statistics

Standard deviation15.067995
Coefficient of variation (CV)0.00015948757
Kurtosis-1.0147496
Mean94477.553
Median Absolute Deviation (MAD)12.068333
Skewness0.032671715
Sum944775.53
Variance227.04449
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9866926297
2025-05-16T18:01:26.357232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-16T18:01:26.417950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:26.431389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
94454.80333 1
10.0%
94460.33667 1
10.0%
94465.47833 1
10.0%
94470.62 1
10.0%
94475.46833 1
10.0%
94479.385 1
10.0%
94484.29667 1
10.0%
94489.615 1
10.0%
94494.61333 1
10.0%
94500.91667 1
10.0%
ValueCountFrequency (%)
94454.80333 1
10.0%
94460.33667 1
10.0%
94465.47833 1
10.0%
94470.62 1
10.0%
94475.46833 1
10.0%
94479.385 1
10.0%
94484.29667 1
10.0%
94489.615 1
10.0%
94494.61333 1
10.0%
94500.91667 1
10.0%
ValueCountFrequency (%)
94500.91667 1
10.0%
94494.61333 1
10.0%
94489.615 1
10.0%
94484.29667 1
10.0%
94479.385 1
10.0%
94475.46833 1
10.0%
94470.62 1
10.0%
94465.47833 1
10.0%
94460.33667 1
10.0%
94454.80333 1
10.0%
2025-05-16T18:01:26.372574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_7
Numeric time series

High correlation  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.635559
Minimum0.084530854
Maximum99.583333
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:26.457352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.084530854
5-th percentile0.0897612
Q10.10752378
median1.1305423
Q347.454175
95-th percentile83.699405
Maximum99.583333
Range99.498802
Interquartile range (IQR)47.346651

Descriptive statistics

Standard deviation35.85003
Coefficient of variation (CV)1.3984493
Kurtosis0.27904553
Mean25.635559
Median Absolute Deviation (MAD)1.0402
Skewness1.155417
Sum256.35559
Variance1285.2246
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value2.746283314 × 10-5
2025-05-16T18:01:26.479249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-16T18:01:26.539446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:26.552720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
99.58333333 1
10.0%
64.28571429 1
10.0%
50 1
10.0%
1.960784314 1
10.0%
0.3003003003 1
10.0%
0.1270648031 1
10.0%
0.101010101 1
10.0%
0.09615384616 1
10.0%
0.08453085377 1
10.0%
39.81670061 1
10.0%
ValueCountFrequency (%)
0.08453085377 1
10.0%
0.09615384616 1
10.0%
0.101010101 1
10.0%
0.1270648031 1
10.0%
0.3003003003 1
10.0%
1.960784314 1
10.0%
39.81670061 1
10.0%
50 1
10.0%
64.28571429 1
10.0%
99.58333333 1
10.0%
ValueCountFrequency (%)
99.58333333 1
10.0%
64.28571429 1
10.0%
50 1
10.0%
39.81670061 1
10.0%
1.960784314 1
10.0%
0.3003003003 1
10.0%
0.1270648031 1
10.0%
0.101010101 1
10.0%
0.09615384616 1
10.0%
0.08453085377 1
10.0%
2025-05-16T18:01:26.494447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_14
Real number (ℝ)

High correlation  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.546242
Minimum6.8783069
Maximum40.310078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size160.0 B
2025-05-16T18:01:26.573217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6.8783069
5-th percentile12.218981
Q119.603221
median26.208048
Q332.062329
95-th percentile37.313741
Maximum40.310078
Range33.431771
Interquartile range (IQR)12.459108

Descriptive statistics

Standard deviation9.486159
Coefficient of variation (CV)0.37133286
Kurtosis0.53454119
Mean25.546242
Median Absolute Deviation (MAD)7.0432993
Skewness-0.48086897
Sum255.46242
Variance89.987212
MonotonicityNot monotonic
2025-05-16T18:01:26.590693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
33.65155131 1
10.0%
32.85114326 1
10.0%
18.74647092 1
10.0%
27.30263158 1
10.0%
22.16288385 1
10.0%
29.69588551 1
10.0%
25.11346445 1
10.0%
18.75 1
10.0%
6.878306878 1
10.0%
40.31007752 1
10.0%
ValueCountFrequency (%)
6.878306878 1
10.0%
18.74647092 1
10.0%
18.75 1
10.0%
22.16288385 1
10.0%
25.11346445 1
10.0%
27.30263158 1
10.0%
29.69588551 1
10.0%
32.85114326 1
10.0%
33.65155131 1
10.0%
40.31007752 1
10.0%
ValueCountFrequency (%)
40.31007752 1
10.0%
33.65155131 1
10.0%
32.85114326 1
10.0%
29.69588551 1
10.0%
27.30263158 1
10.0%
25.11346445 1
10.0%
22.16288385 1
10.0%
18.75 1
10.0%
18.74647092 1
10.0%
6.878306878 1
10.0%

rsi_21
Real number (ℝ)

High correlation  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.517535
Minimum21.196633
Maximum38.20179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size160.0 B
2025-05-16T18:01:26.608114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21.196633
5-th percentile21.792119
Q123.642136
median28.039549
Q332.123393
95-th percentile37.053126
Maximum38.20179
Range17.005157
Interquartile range (IQR)8.4812568

Descriptive statistics

Standard deviation5.7704936
Coefficient of variation (CV)0.20234896
Kurtosis-0.99350572
Mean28.517535
Median Absolute Deviation (MAD)5.0058446
Skewness0.39292585
Sum285.17535
Variance33.298597
MonotonicityNot monotonic
2025-05-16T18:01:26.627176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
26.34831461 1
10.0%
32.88920056 1
10.0%
35.64920273 1
10.0%
38.20179007 1
10.0%
29.73078424 1
10.0%
25.93601089 1
10.0%
22.87751134 1
10.0%
22.5199362 1
10.0%
21.19663259 1
10.0%
29.82597055 1
10.0%
ValueCountFrequency (%)
21.19663259 1
10.0%
22.5199362 1
10.0%
22.87751134 1
10.0%
25.93601089 1
10.0%
26.34831461 1
10.0%
29.73078424 1
10.0%
29.82597055 1
10.0%
32.88920056 1
10.0%
35.64920273 1
10.0%
38.20179007 1
10.0%
ValueCountFrequency (%)
38.20179007 1
10.0%
35.64920273 1
10.0%
32.88920056 1
10.0%
29.82597055 1
10.0%
29.73078424 1
10.0%
26.34831461 1
10.0%
25.93601089 1
10.0%
22.87751134 1
10.0%
22.5199362 1
10.0%
21.19663259 1
10.0%

rsi_60
Real number (ℝ)

High correlation 

Distinct9
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.605459
Minimum58.424147
Maximum63.882619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size160.0 B
2025-05-16T18:01:26.645284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum58.424147
5-th percentile59.446318
Q161.096291
median61.49147
Q362.168176
95-th percentile63.679119
Maximum63.882619
Range5.4584717
Interquartile range (IQR)1.0718849

Descriptive statistics

Standard deviation1.5109185
Coefficient of variation (CV)0.024525724
Kurtosis1.5826958
Mean61.605459
Median Absolute Deviation (MAD)0.67199695
Skewness-0.60156967
Sum616.05459
Variance2.2828746
MonotonicityNot monotonic
2025-05-16T18:01:26.662556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
61.49146987 2
20.0%
63.88261851 1
10.0%
62.15404891 1
10.0%
60.69563939 1
10.0%
58.42414683 1
10.0%
61.03662647 1
10.0%
62.17288472 1
10.0%
61.27528386 1
10.0%
63.43039773 1
10.0%
ValueCountFrequency (%)
58.42414683 1
10.0%
60.69563939 1
10.0%
61.03662647 1
10.0%
61.27528386 1
10.0%
61.49146987 2
20.0%
62.15404891 1
10.0%
62.17288472 1
10.0%
63.43039773 1
10.0%
63.88261851 1
10.0%
ValueCountFrequency (%)
63.88261851 1
10.0%
63.43039773 1
10.0%
62.17288472 1
10.0%
62.15404891 1
10.0%
61.49146987 2
20.0%
61.27528386 1
10.0%
61.03662647 1
10.0%
60.69563939 1
10.0%
58.42414683 1
10.0%

macd_7
Numeric time series

High correlation  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-18.725836
Minimum-32.833911
Maximum-9.9094196
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:26.683006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-32.833911
5-th percentile-31.370804
Q1-25.659954
median-16.498817
Q3-10.476954
95-th percentile-9.9976833
Maximum-9.9094196
Range22.924491
Interquartile range (IQR)15.183

Descriptive statistics

Standard deviation8.9811032
Coefficient of variation (CV)-0.47961026
Kurtosis-1.6822501
Mean-18.725836
Median Absolute Deviation (MAD)6.4913262
Skewness-0.39941138
Sum-187.25836
Variance80.660214
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0
2025-05-16T18:01:26.703189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-16T18:01:26.764158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:26.777373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-10.65480364 1
10.0%
-10.41767116 1
10.0%
-10.10556109 1
10.0%
-9.909419636 1
10.0%
-13.05182357 1
10.0%
-19.9458096 1
10.0%
-25.94150924 1
10.0%
-29.58256309 1
10.0%
-32.83391081 1
10.0%
-24.81528838 1
10.0%
ValueCountFrequency (%)
-32.83391081 1
10.0%
-29.58256309 1
10.0%
-25.94150924 1
10.0%
-24.81528838 1
10.0%
-19.9458096 1
10.0%
-13.05182357 1
10.0%
-10.65480364 1
10.0%
-10.41767116 1
10.0%
-10.10556109 1
10.0%
-9.909419636 1
10.0%
ValueCountFrequency (%)
-9.909419636 1
10.0%
-10.10556109 1
10.0%
-10.41767116 1
10.0%
-10.65480364 1
10.0%
-13.05182357 1
10.0%
-19.9458096 1
10.0%
-24.81528838 1
10.0%
-25.94150924 1
10.0%
-29.58256309 1
10.0%
-32.83391081 1
10.0%
2025-05-16T18:01:26.718201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdsignal_7
Numeric time series

High correlation  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.662018
Minimum-28.124869
Maximum7.2387084
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:26.802629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-28.124869
5-th percentile-27.746074
Q1-26.511517
median-20.866583
Q3-6.0570207
95-th percentile4.5527899
Maximum7.2387084
Range35.363578
Interquartile range (IQR)20.454496

Descriptive statistics

Standard deviation13.088367
Coefficient of variation (CV)-0.83567563
Kurtosis-1.0246563
Mean-15.662018
Median Absolute Deviation (MAD)6.837403
Skewness0.74439531
Sum-156.62018
Variance171.30534
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value5.985429277 × 10-13
2025-05-16T18:01:26.823795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-16T18:01:26.882784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:27.003280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
7.238708368 1
10.0%
1.270000612 1
10.0%
-4.335270671 1
10.0%
-11.22227061 1
10.0%
-18.16291934 1
10.0%
-23.57024671 1
10.0%
-26.80792952 1
10.0%
-28.12486933 1
10.0%
-27.28310272 1
10.0%
-25.62227818 1
10.0%
ValueCountFrequency (%)
-28.12486933 1
10.0%
-27.28310272 1
10.0%
-26.80792952 1
10.0%
-25.62227818 1
10.0%
-23.57024671 1
10.0%
-18.16291934 1
10.0%
-11.22227061 1
10.0%
-4.335270671 1
10.0%
1.270000612 1
10.0%
7.238708368 1
10.0%
ValueCountFrequency (%)
7.238708368 1
10.0%
1.270000612 1
10.0%
-4.335270671 1
10.0%
-11.22227061 1
10.0%
-18.16291934 1
10.0%
-23.57024671 1
10.0%
-25.62227818 1
10.0%
-26.80792952 1
10.0%
-27.28310272 1
10.0%
-28.12486933 1
10.0%
2025-05-16T18:01:26.839058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdhist_7
Numeric time series

High correlation  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.0638182
Minimum-17.893512
Maximum5.1110958
Zeros0
Zeros (%)0.0%
Memory size160.0 B
2025-05-16T18:01:27.029062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-17.893512
5-th percentile-15.100884
Q1-5.7154198
median-0.32535198
Q31.2012433
95-th percentile4.4420994
Maximum5.1110958
Range23.004608
Interquartile range (IQR)6.9166631

Descriptive statistics

Standard deviation7.2382284
Coefficient of variation (CV)-2.3624863
Kurtosis0.53412784
Mean-3.0638182
Median Absolute Deviation (MAD)4.5876226
Skewness-1.0568784
Sum-30.638182
Variance52.391951
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0141680425
2025-05-16T18:01:27.051498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
2025-05-16T18:01:27.121401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-16T18:01:27.136007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-17.89351201 1
10.0%
-11.68767177 1
10.0%
-5.770290423 1
10.0%
1.31285097 1
10.0%
5.111095772 1
10.0%
3.624437108 1
10.0%
0.8664202711 1
10.0%
-1.457693762 1
10.0%
-5.550808094 1
10.0%
0.8069897957 1
10.0%
ValueCountFrequency (%)
-17.89351201 1
10.0%
-11.68767177 1
10.0%
-5.770290423 1
10.0%
-5.550808094 1
10.0%
-1.457693762 1
10.0%
0.8069897957 1
10.0%
0.8664202711 1
10.0%
1.31285097 1
10.0%
3.624437108 1
10.0%
5.111095772 1
10.0%
ValueCountFrequency (%)
5.111095772 1
10.0%
3.624437108 1
10.0%
1.31285097 1
10.0%
0.8664202711 1
10.0%
0.8069897957 1
10.0%
-1.457693762 1
10.0%
-5.550808094 1
10.0%
-5.770290423 1
10.0%
-11.68767177 1
10.0%
-17.89351201 1
10.0%
2025-05-16T18:01:27.066340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

obv_7
Real number (ℝ)

High correlation  Unique 

Distinct10
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19217233
Minimum0.01890306
Maximum0.77871907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size160.0 B
2025-05-16T18:01:27.158299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01890306
5-th percentile0.03353386
Q10.11476211
median0.12249145
Q30.19187424
95-th percentile0.5389749
Maximum0.77871907
Range0.75981601
Interquartile range (IQR)0.077112128

Descriptive statistics

Standard deviation0.21627791
Coefficient of variation (CV)1.1254373
Kurtosis7.6094548
Mean0.19217233
Median Absolute Deviation (MAD)0.045564165
Skewness2.6394625
Sum1.9217233
Variance0.046776135
MonotonicityNot monotonic
2025-05-16T18:01:27.179685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.05141595 1
10.0%
0.24595424 1
10.0%
0.14254428 1
10.0%
0.01890306 1
10.0%
0.11680518 1
10.0%
0.20831756 1
10.0%
0.77871907 1
10.0%
0.12450833 1
10.0%
0.12047457 1
10.0%
0.11408109 1
10.0%
ValueCountFrequency (%)
0.01890306 1
10.0%
0.05141595 1
10.0%
0.11408109 1
10.0%
0.11680518 1
10.0%
0.12047457 1
10.0%
0.12450833 1
10.0%
0.14254428 1
10.0%
0.20831756 1
10.0%
0.24595424 1
10.0%
0.77871907 1
10.0%
ValueCountFrequency (%)
0.77871907 1
10.0%
0.24595424 1
10.0%
0.20831756 1
10.0%
0.14254428 1
10.0%
0.12450833 1
10.0%
0.12047457 1
10.0%
0.11680518 1
10.0%
0.11408109 1
10.0%
0.05141595 1
10.0%
0.01890306 1
10.0%

Interactions

2025-05-16T18:01:24.481864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:17.760872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:18.203407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:18.558488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:18.896449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:19.348071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:19.689977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:20.063820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:20.429055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:20.885948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:21.219396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:21.557128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:21.881397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:22.214770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:22.691086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:23.047411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:23.378359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:23.697592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T18:01:20.103042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T18:01:20.923762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T18:01:21.917398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:22.254604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:22.729127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:23.084500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:23.413426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T18:01:24.540593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:17.855490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:18.259764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T18:01:18.950949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T18:01:20.941118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:21.273469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:21.609383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:21.934595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:22.272641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T18:01:23.007556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-16T18:01:23.663988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:24.121120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:24.448165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:24.856219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:18.183365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:18.539713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:18.876353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:19.328580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:19.669815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:20.043523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:20.408097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:20.866140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:21.201379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:21.536799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:21.863300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:22.197109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:22.672222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:23.028295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:23.360101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:23.679280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:24.138549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-16T18:01:24.463705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-16T18:01:27.204372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closehighlowmacd_7macdhist_7macdsignal_7obv_7openrsi_14rsi_21rsi_60rsi_7sma_14sma_21sma_60sma_7targetvolumewindow_start_ms
close1.0000.9140.8920.912-0.2920.936-0.4070.8100.4320.8020.3660.9060.8390.839-0.8390.796-0.875-0.407-0.839
high0.9141.0000.9090.862-0.2830.972-0.1850.9160.4920.7140.2470.8990.9110.911-0.9110.867-0.825-0.185-0.911
low0.8920.9091.0000.858-0.3270.908-0.1790.9630.2350.6050.2040.7530.9820.982-0.9820.935-0.809-0.179-0.982
macd_70.9120.8620.8581.000-0.1030.867-0.2480.7930.2850.9150.1220.7700.8060.806-0.8060.851-0.964-0.248-0.806
macdhist_7-0.292-0.283-0.327-0.1031.000-0.382-0.042-0.378-0.079-0.018-0.705-0.479-0.394-0.3940.394-0.3530.152-0.0420.394
macdsignal_70.9360.9720.9080.867-0.3821.000-0.2000.9090.4420.7090.2550.9150.9150.915-0.9150.875-0.867-0.200-0.915
obv_7-0.407-0.185-0.179-0.248-0.042-0.2001.0000.018-0.212-0.285-0.419-0.236-0.042-0.0420.0420.0910.3211.0000.042
open0.8100.9160.9630.793-0.3780.9090.0181.0000.1950.5370.1190.7380.9940.994-0.9940.969-0.7560.018-0.994
rsi_140.4320.4920.2350.285-0.0790.442-0.2120.1951.0000.3450.4320.6240.2120.212-0.2120.079-0.212-0.212-0.212
rsi_210.8020.7140.6050.915-0.0180.709-0.2850.5370.3451.0000.1950.7330.5390.539-0.5390.632-0.879-0.285-0.539
rsi_600.3660.2470.2040.122-0.7050.255-0.4190.1190.4320.1951.0000.5290.1580.158-0.1580.058-0.085-0.419-0.158
rsi_70.9060.8990.7530.770-0.4790.915-0.2360.7380.6240.7330.5291.0000.7450.745-0.7450.705-0.733-0.236-0.745
sma_140.8390.9110.9820.806-0.3940.915-0.0420.9940.2120.5390.1580.7451.0001.000-1.0000.960-0.770-0.042-1.000
sma_210.8390.9110.9820.806-0.3940.915-0.0420.9940.2120.5390.1580.7451.0001.000-1.0000.960-0.770-0.042-1.000
sma_60-0.839-0.911-0.982-0.8060.394-0.9150.042-0.994-0.212-0.539-0.158-0.745-1.000-1.0001.000-0.9600.7700.0421.000
sma_70.7960.8670.9350.851-0.3530.8750.0910.9690.0790.6320.0580.7050.9600.960-0.9601.000-0.8150.091-0.960
target-0.875-0.825-0.809-0.9640.152-0.8670.321-0.756-0.212-0.879-0.085-0.733-0.770-0.7700.770-0.8151.0000.3210.770
volume-0.407-0.185-0.179-0.248-0.042-0.2001.0000.018-0.212-0.285-0.419-0.236-0.042-0.0420.0420.0910.3211.0000.042
window_start_ms-0.839-0.911-0.982-0.8060.394-0.9150.042-0.994-0.212-0.539-0.158-0.745-1.000-1.0001.000-0.9600.7700.0421.000

Missing values

2025-05-16T18:01:24.894791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-16T18:01:24.930625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

window_start_msopenhighlowclosetargetvolumesma_7sma_14sma_21sma_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obv_7
1746547320000174654732000094537.0094537.0094536.9094536.9094458.500.0594534.9994549.1994568.3294454.8099.5833.6526.3563.88-10.657.24-17.890.05
1746547380000174654738000094537.0094537.0094532.0094532.0094438.100.2594535.5694543.9494563.6794460.3464.2932.8532.8962.15-10.421.27-11.690.25
1746547440000174654744000094532.1094532.1094532.0094532.1094433.100.1494535.5694536.0494560.0794465.4850.0018.7535.6561.49-10.11-4.34-5.770.14
1746547500000174654750000094532.0094532.1094532.0094532.1094413.900.0294534.8694532.0994557.3194470.621.9627.3038.2061.49-9.91-11.221.310.02
1746547560000174654756000094532.0094532.1094503.8094503.9094492.100.1294530.1394526.1494552.3694475.470.3022.1629.7360.70-13.05-18.165.110.12
1746547620000174654762000094503.9094503.9094458.4094458.5094581.900.2194518.9194522.8994545.6394479.390.1329.7025.9458.42-19.95-23.573.620.21
1746547680000174654768000094456.0094456.0094433.0094438.1094742.900.7894504.8094518.1994537.6694484.300.1025.1122.8861.04-25.94-26.810.870.78
1746547740000174654774000094438.0094438.0094433.0094433.1094802.900.1294489.9794512.4894529.4594489.610.1018.7522.5262.17-29.58-28.12-1.460.12
1746547800000174654780000094433.0094433.0094413.8094413.9094687.900.1294473.1094504.3394520.3394494.610.086.8821.2061.28-32.83-27.28-5.550.12
1746547860000174654786000094413.8094492.1094413.8094492.1094609.100.1194467.3994501.4794513.1594500.9239.8240.3129.8363.43-24.82-25.620.810.11
window_start_msopenhighlowclosetargetvolumesma_7sma_14sma_21sma_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obv_7
1746547320000174654732000094537.0094537.0094536.9094536.9094458.500.0594534.9994549.1994568.3294454.8099.5833.6526.3563.88-10.657.24-17.890.05
1746547380000174654738000094537.0094537.0094532.0094532.0094438.100.2594535.5694543.9494563.6794460.3464.2932.8532.8962.15-10.421.27-11.690.25
1746547440000174654744000094532.1094532.1094532.0094532.1094433.100.1494535.5694536.0494560.0794465.4850.0018.7535.6561.49-10.11-4.34-5.770.14
1746547500000174654750000094532.0094532.1094532.0094532.1094413.900.0294534.8694532.0994557.3194470.621.9627.3038.2061.49-9.91-11.221.310.02
1746547560000174654756000094532.0094532.1094503.8094503.9094492.100.1294530.1394526.1494552.3694475.470.3022.1629.7360.70-13.05-18.165.110.12
1746547620000174654762000094503.9094503.9094458.4094458.5094581.900.2194518.9194522.8994545.6394479.390.1329.7025.9458.42-19.95-23.573.620.21
1746547680000174654768000094456.0094456.0094433.0094438.1094742.900.7894504.8094518.1994537.6694484.300.1025.1122.8861.04-25.94-26.810.870.78
1746547740000174654774000094438.0094438.0094433.0094433.1094802.900.1294489.9794512.4894529.4594489.610.1018.7522.5262.17-29.58-28.12-1.460.12
1746547800000174654780000094433.0094433.0094413.8094413.9094687.900.1294473.1094504.3394520.3394494.610.086.8821.2061.28-32.83-27.28-5.550.12
1746547860000174654786000094413.8094492.1094413.8094492.1094609.100.1194467.3994501.4794513.1594500.9239.8240.3129.8363.43-24.82-25.620.810.11